Performance of random forests and logic regression methods using mini-exome sequence data

Performance of random forests and logic regression methods using mini-exome sequence data

Machine learning approaches are an attractive option for analyzing large-scale data to detect genetic variants that contribute to variation of a quantitative trait, without requiring specific distributional assumptions. We evaluate two machine learning methods, random forests and logic regression, a...

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Bibliographic Details
Main Authors: Kim, Yoonhee, Li, Qing, Cropp, Cheryl D, Sung, Heejong, Cai, Juanliang, Simpson, Claire L, Perry, Brian, Dasgupta, Abhijit, Malley, James D, Wilson, Alexander F, Bailey-Wilson, Joan E
Format: Online
Language:English
Published: BioMed Central 2011
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287827/

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287827/

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